Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions
- Autores
- Tello Alonso, Héctor Alfredo; Rubiolo, Amelia Catalina; Zorrilla, Susana
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Immersion chilling and freezing (ICF) consist of soaking foods in a low freezing point liquid medium maintained at a low temperature that are considered secondary refrigerants. Data related to transport properties for the refrigerating media used in ICF processes are scarce, particularly for ternary and higher order systems. The objective of this work was to develop a model for the prediction of diffusion coefficients for systems of interest for ICF processes. The generalized Maxwell–Stefan equations were used in the model development. Data obtained from literature corresponding to Fick diffusion coefficients of the binary systems NaCl–H2O and KCl–H2O, and the ternary system NaCl–KCl–H2O, were compared with predicted values. Results were satisfactory, errors of the main diffusion coefficients less than 13.5% being obtained. These results may be extended to the typical range of conditions of ICF, where no data are available in literature to date.
Fil: Tello Alonso, Héctor Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Rubiolo, Amelia Catalina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Zorrilla, Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina - Materia
-
Diffusion Coefficient
Maxwell-Stefan
Multicomponent Solutions
Refrigerating Liquids
Foods - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/18821
Ver los metadatos del registro completo
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Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutionsTello Alonso, Héctor AlfredoRubiolo, Amelia CatalinaZorrilla, SusanaDiffusion CoefficientMaxwell-StefanMulticomponent SolutionsRefrigerating LiquidsFoodshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Immersion chilling and freezing (ICF) consist of soaking foods in a low freezing point liquid medium maintained at a low temperature that are considered secondary refrigerants. Data related to transport properties for the refrigerating media used in ICF processes are scarce, particularly for ternary and higher order systems. The objective of this work was to develop a model for the prediction of diffusion coefficients for systems of interest for ICF processes. The generalized Maxwell–Stefan equations were used in the model development. Data obtained from literature corresponding to Fick diffusion coefficients of the binary systems NaCl–H2O and KCl–H2O, and the ternary system NaCl–KCl–H2O, were compared with predicted values. Results were satisfactory, errors of the main diffusion coefficients less than 13.5% being obtained. These results may be extended to the typical range of conditions of ICF, where no data are available in literature to date.Fil: Tello Alonso, Héctor Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Rubiolo, Amelia Catalina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Zorrilla, Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaElsevier2012-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/18821Tello Alonso, Héctor Alfredo; Rubiolo, Amelia Catalina; Zorrilla, Susana; Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions; Elsevier; Journal Of Food Engineering; 109; 3; 4-2012; 490-4950260-8774CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jfoodeng.2011.10.034info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S026087741100584X?via%3Dihubinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:35:46Zoai:ri.conicet.gov.ar:11336/18821instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:35:47.143CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions |
title |
Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions |
spellingShingle |
Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions Tello Alonso, Héctor Alfredo Diffusion Coefficient Maxwell-Stefan Multicomponent Solutions Refrigerating Liquids Foods |
title_short |
Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions |
title_full |
Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions |
title_fullStr |
Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions |
title_full_unstemmed |
Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions |
title_sort |
Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions |
dc.creator.none.fl_str_mv |
Tello Alonso, Héctor Alfredo Rubiolo, Amelia Catalina Zorrilla, Susana |
author |
Tello Alonso, Héctor Alfredo |
author_facet |
Tello Alonso, Héctor Alfredo Rubiolo, Amelia Catalina Zorrilla, Susana |
author_role |
author |
author2 |
Rubiolo, Amelia Catalina Zorrilla, Susana |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Diffusion Coefficient Maxwell-Stefan Multicomponent Solutions Refrigerating Liquids Foods |
topic |
Diffusion Coefficient Maxwell-Stefan Multicomponent Solutions Refrigerating Liquids Foods |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Immersion chilling and freezing (ICF) consist of soaking foods in a low freezing point liquid medium maintained at a low temperature that are considered secondary refrigerants. Data related to transport properties for the refrigerating media used in ICF processes are scarce, particularly for ternary and higher order systems. The objective of this work was to develop a model for the prediction of diffusion coefficients for systems of interest for ICF processes. The generalized Maxwell–Stefan equations were used in the model development. Data obtained from literature corresponding to Fick diffusion coefficients of the binary systems NaCl–H2O and KCl–H2O, and the ternary system NaCl–KCl–H2O, were compared with predicted values. Results were satisfactory, errors of the main diffusion coefficients less than 13.5% being obtained. These results may be extended to the typical range of conditions of ICF, where no data are available in literature to date. Fil: Tello Alonso, Héctor Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina Fil: Rubiolo, Amelia Catalina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina Fil: Zorrilla, Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina |
description |
Immersion chilling and freezing (ICF) consist of soaking foods in a low freezing point liquid medium maintained at a low temperature that are considered secondary refrigerants. Data related to transport properties for the refrigerating media used in ICF processes are scarce, particularly for ternary and higher order systems. The objective of this work was to develop a model for the prediction of diffusion coefficients for systems of interest for ICF processes. The generalized Maxwell–Stefan equations were used in the model development. Data obtained from literature corresponding to Fick diffusion coefficients of the binary systems NaCl–H2O and KCl–H2O, and the ternary system NaCl–KCl–H2O, were compared with predicted values. Results were satisfactory, errors of the main diffusion coefficients less than 13.5% being obtained. These results may be extended to the typical range of conditions of ICF, where no data are available in literature to date. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/18821 Tello Alonso, Héctor Alfredo; Rubiolo, Amelia Catalina; Zorrilla, Susana; Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions; Elsevier; Journal Of Food Engineering; 109; 3; 4-2012; 490-495 0260-8774 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/18821 |
identifier_str_mv |
Tello Alonso, Héctor Alfredo; Rubiolo, Amelia Catalina; Zorrilla, Susana; Prediction of the diffusion coefficients in multicomponent liquid refrigerant solutions; Elsevier; Journal Of Food Engineering; 109; 3; 4-2012; 490-495 0260-8774 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jfoodeng.2011.10.034 info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S026087741100584X?via%3Dihub |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |